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Wyoming Labor Force Trends

May 2026 | Volume 63, No. 5


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Wyoming Unemployment Rate Steady at 3.6% in March 2026

by: David Bullard, Senior Economist

The Research & Planning section of the Wyoming Department of Workforce Services reported that the state’s seasonally adjusted1 unemployment rate remained unchanged from February to March at 3.6%. Wyoming’s unemployment rate was higher than its year-ago level of 3.2%, but lower than the current U.S. unemployment rate of 4.3%.

From February to March, most county unemployment rates followed their normal seasonal pattern and fell slightly. County unemployment rates often fall in March as warmer weather brings seasonal job gains in construction, professional & business services, and government. The largest unemployment rate decreases occurred in Fremont (down from 5.7% to 4.6%), Big Horn (down from 5.6% to 4.6%), and Carbon (down from 5.2% to 4.4%) counties. Unemployment rose slightly in Hot Springs County (up from 4.1% to 4.3%).

Compared to a year earlier, jobless rates rose in 15 counties, fell in seven counties, and held steady in Park County. The largest increases were reported in Niobrara (up from 4.4% to 5.4%), Sweetwater (up from 4.0% to 4.6%), and Hot Springs (up from 3.8% to 4.3%) counties. Unemployment rates fell in Washakie (down from 3.8% to 3.4%), Campbell (down from 3.7% to 3.4%), and Weston (down from 3.6% to 3.3%) counties.

In March 2026, the highest unemployment rates were found in Niobrara County at 5.4% and Sweetwater, Platte, Park, Fremont, and Big Horn counties, each at 4.6%. The lowest unemployment rates occurred in Albany and Teton counties, each at 2.7%.

Current Employment Statistics (CES) estimates show that total nonfarm employment in Wyoming (not seasonally adjusted and measured by place of work) rose from 288,200 in March 2025 to 289,600 in March 2026, an increase of 1,400 jobs (0.5%).

R&P's most recent monthly news release is available at https://doe.state.wy.us/LMI/news.htm.


1Seasonal adjustment is a statistical procedure to remove the impact of normal regularly recurring events (such as weather, major holidays, and the opening and closing of schools) from economic time series to better understand changes in economic conditions from month to month.